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Scaling the Java Virtual Machine on a Many-Core System Read chapter Read first chapter

2017 | OriginalPaper | Chapter

8. Acceleration of MapReduce Framework on a Multicore Processor

Authors : Lijun Zhou, Zhiyi Yu

Published in: Emerging Technology and Architecture for Big-data Analytics

Publisher: Springer International Publishing

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Abstract

MapReduce framework is widely used in massive data processing, such as financial prediction, online marketing, and so on. Multicore processor is a great platform to implement MapReduce because of its inherent parallelism and flexibility. This book chapter extracts features of MapReduce applications, and proposes a software–hardware co-design framework based on a multi-core processor to improve the performance of MapReduce applications. Experimental results show that the MapReduce framework with hardware accelerators speeds up by 40 times at maximum compared to the pure software solution, and the proposed Topo-MapReduce speeds up further by 29% at maximum compared to the original MapReduce.

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Metadata
Title
Acceleration of MapReduce Framework on a Multicore Processor
Authors
Lijun Zhou
Zhiyi Yu
Copyright Year
2017
Book
Emerging Technology and Architecture for Big-data Analytics

Print ISBN: 978-3-319-54839-5

Electronic ISBN: 978-3-319-54840-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-54840-1_8